A novel automated cloud-based image datasets for high throughput phenotyping in weed classification

Sunil G C, Cengiz Koparan, Arjun Upadhyay, Mohammed Raju Ahmed, Yu Zhang, Kirk Howatt, Xin Sun

Open source

DOI
10.1016/j.dib.2024.111097
Published
2024-12
Container
Data in Brief
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.dib.2024.111097,
  title = {A novel automated cloud-based image datasets for high throughput phenotyping in weed classification},
  author = {Sunil G C and Cengiz Koparan and Arjun Upadhyay and Mohammed Raju Ahmed and Yu Zhang and Kirk Howatt and Xin Sun},
  year = {2024},
  journal = {Data in Brief},
  doi = {10.1016/j.dib.2024.111097},
  url = {https://doi.org/10.1016/j.dib.2024.111097}
}

RIS

TY  - JOUR
TI  - A novel automated cloud-based image datasets for high throughput phenotyping in weed classification
AU  - Sunil G C
AU  - Cengiz Koparan
AU  - Arjun Upadhyay
AU  - Mohammed Raju Ahmed
AU  - Yu Zhang
AU  - Kirk Howatt
AU  - Xin Sun
PY  - 2024
JO  - Data in Brief
DO  - 10.1016/j.dib.2024.111097
UR  - https://doi.org/10.1016/j.dib.2024.111097
ER  - 

APA

C, S. G., Koparan, C., Upadhyay, A., Ahmed, M. R., Zhang, Y., Howatt, K., & Sun, X. (2024). A novel automated cloud-based image datasets for high throughput phenotyping in weed classification. Data in Brief. https://doi.org/10.1016/j.dib.2024.111097

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